pith:FAIZ7R4G
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
The FORSS framework delivers accurate formula-based sample size and power calculations for win statistics on hierarchical endpoints.
arxiv:2605.17240 v1 · 2026-05-17 · stat.ME
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Claims
The formula-based FORSS closely matches empirical power across a wide range of scenarios while maintaining Type I error rates near the nominal 5% level.
That a user-specified flexible joint working distribution for the hierarchical endpoints, together with marginal treatment effects, is sufficient to generate super-samples whose plug-in estimates accurately support the analytical power and sample-size formulas.
FORSS is a new formula-based super-sample framework for power and sample size calculations with win statistics on hierarchical endpoints that incorporates marginal effects and a flexible joint distribution.
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Receipt and verification
| First computed | 2026-05-20T00:03:47.030345Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28119fc78607a310bd1c7e85f5cc6c5da6389bd1007f0f52560d8f1fe60700be
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAIZ7R4GA6RRBPI4P2C7LTDMLW \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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